Jackson A. Killian

According to our database, Jackson A. Killian authored at least 16 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Equitable Restless Multi-Armed Bandits: A General Framework Inspired By Digital Health.

Jackson A. Killian, Manish Jain, Yugang Jia, Jonathan Amar, Erich Huang, Milind Tambe

CoRR, 2023

Find Rhinos without Finding Rhinos: Active Learning with Multimodal Imagery of South African Rhino Habitats.

Lucia Gordon, Nikhil Behari, Samuel Collier, Elizabeth Bondi-Kelly, Jackson A. Killian, Catherine Ressijac, Peter Boucher, Andrew Davies, Milind Tambe

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare.

Panayiotis Danassis, Shresth Verma, Jackson A. Killian, Aparna Taneja, Milind Tambe

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Fairness for Workers Who Pull the Arms: An Index Based Policy for Allocation of Restless Bandit Tasks.

Arpita Biswas, Jackson A. Killian, Paula Rodriguez Diaz, Susobhan Ghosh, Milind Tambe

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Robust Planning over Restless Groups: Engagement Interventions for a Large-Scale Maternal Telehealth Program.

Jackson A. Killian, Arpita Biswas, Lily Xu, Shresth Verma, Vineet Nair, Aparna Taneja, Aparna Hegde, Neha Madhiwalla, Paula Rodriguez Diaz, Sonja Johnson-Yu, Milind Tambe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Flexible Budgets in Restless Bandits: A Primal-Dual Algorithm for Efficient Budget Allocation.

Paula Rodriguez Diaz, Jackson A. Killian, Lily Xu, Arun Sai Suggala, Aparna Taneja, Milind Tambe

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Restless and uncertain: Robust policies for restless bandits via deep multi-agent reinforcement learning.

Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Networked Restless Multi-Armed Bandits for Mobile Interventions.

Han-Ching Ou, Christoph Siebenbrunner, Jackson A. Killian, Meredith B. Brooks, David Kempe, Yevgeniy Vorobeychik, Milind Tambe

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Robust Restless Bandits: Tackling Interval Uncertainty with Deep Reinforcement Learning.

Jackson A. Killian, Lily Xu, Arpita Biswas, Milind Tambe

CoRR, 2021

Q-Learning Lagrange Policies for Multi-Action Restless Bandits.

Jackson A. Killian, Arpita Biswas, Sanket Shah, Milind Tambe

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Beyond "To Act or Not to Act": Fast Lagrangian Approaches to General Multi-Action Restless Bandits.

Jackson A. Killian, Andrew Perrault, Milind Tambe

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Envisioning Communities: A Participatory Approach Towards AI for Social Good.

Elizabeth Bondi, Lily Xu, Diana Acosta-Navas, Jackson A. Killian

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Collapsing Bandits and Their Application to Public Health Interventions.

Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe

CoRR, 2020

Collapsing Bandits and Their Application to Public Health Intervention.

Aditya Mate, Jackson A. Killian, Haifeng Xu, Andrew Perrault, Milind Tambe

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Learning to Prescribe Interventions for Tuberculosis Patients Using Digital Adherence Data.

Jackson A. Killian, Bryan Wilder, Amit Sharma, Vinod Choudhary, Bistra Dilkina, Milind Tambe

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Learning to Detect Heavy Drinking Episodes Using Smartphone Accelerometer Data.

Jackson A. Killian, Kevin M. Passino, Arnab Nandi, Danielle R. Madden, John D. Clapp

Proceedings of the 4th International Workshop on Knowledge Discovery in Healthcare Data co-located with the 28th International Joint Conference on Artificial Intelligence, 2019